Replication data for "Replication for 'How to Stop Contagion: Applying Network Science to Evaluate the Effectiveness of Covid-19 Vaccine Distribution Plans'"
Author: Olga V. Chyzh

County-level data (Californa and Oregon):

Variables:

State-- State name
State_dum -- unique numeric identifier for states	
County -- county name	
Date	-- date of record
grocery_day	--number of days since the vaccine eligibility date for grocery employees
Newcases7--new Covid-19 cases, 7 day rolling average	
ln_Newcases7 -- natural log of new Covid-19 cases, 7 day rolling average
ln_Deaths7--natural log of Covid-19 deaths, 7-day rolling average		
ln_Hosp7--	natural log of the Covid-19 hospitalizations, 7-day rolling average
GDP_co_2019	--county GDP, USD, 2019 values
ln_GDP_co_2019--natural log of county GDP, USD, 2019 values	
totpop1519--county population, 2015-2019 Census American Community Survey average
ln_totpop1519--natural logarithm of the county population, 2015-2019 Census American Community Survey average	
perc_unemploy1519	--percent unemployed, county-level, 2015-2019 Census American Community Survey average
percBA1519--percent of county population who hold a BA degree, 2015-2019 Census American Community Survey average	
urb2010--urbanization, county-level, 2010 Census
percblack1519--percent of county population who identify as Black, 2015-2019 Census American Community Survey average	
perc_otherrace1519--percent of county population who identify as other race, 2015-2019 Census American Community Survey average	
perclatino1519--percent of county population who identify as Latino/a, 2015-2019 Census American Community Survey average
perc_foreign1519--percent of county population who identify as foreign, 2015-2019 Census American Community Survey average	
Bidenmarg--Biden's 2020 margin of the two-party vote, county level	
age_65plus_prop--	proportion of residents of age 65 or above, county level, 2015-2019 Census American Community Survey average
grocery_wkrs100--proportion of grocery employees per 100 residents, county level
indoor_dining--a binary variable indicating whether a county was under a ban on indoor dining, bars, gyms, hair salons and related services prior to the start of the vaccine rollout
Cum_covid--cumulative Covid-19 cases	
lnCumCovid1000--natural log of the cumulative Covid-19 cases pr 1000 residents
lnCumHosp1000--natural lof of the cumulative Covid-19 hospitalizations per 1000 residents	
CumHosp--cumulative Covid-19 hospitalizations	
lnCumDeaths1000-- natural log of cumulative Covid-19 deaths per 1000 residents	
Cum_deaths--cumulative Covid-19 deaths
lag3_lnNewCasescap1000 --3-day lag of the natural log of new Covid-19 cases per 1000 residents, 7 day rolling average	
lag14_lnNewCasescap1000	 ---14-day lag of the natural log of new Covid-19 cases per 1000 residents, 7 day rolling average	
lag28_lnNewCasescap1000	---28-day lag of the natural log of new Covid-19 cases per 1000 residents, 7 day rolling average
	
